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DBMS > Databricks vs. Fauna vs. mSQL vs. searchxml vs. STSdb

System Properties Comparison Databricks vs. Fauna vs. mSQL vs. searchxml vs. STSdb

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonsearchxml  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.mSQL (Mini SQL) is a simple and lightweight RDBMSDBMS for structured and unstructured content wrapped with an application serverKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Relational DBMS
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSNative XML DBMS
Search engine
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.databricks.comfauna.comhughestech.com.au/­products/­msqlwww.searchxml.net/­category/­productsgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.databricks.comdocs.fauna.comwww.searchxml.net/­support/­handouts
DeveloperDatabricksFauna, Inc.Hughes Technologiesinformationpartners gmbhSTS Soft SC
Initial release20132014199420152011
Current release4.4, October 20211.04.0.8, September 2015
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree licenses can be providedcommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaCC++C#
Server operating systemshostedhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
WindowsWindows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes infoprimitive types and user defined types (classes)
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnonoyes
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
RESTful HTTP API
WebDAV
XQuery
XSLT
.NET Client API
Supported programming languagesPython
R
Scala
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C
C++
Delphi
Java
Perl
PHP
Tcl
C++ infomost other programming languages supported via APIsC#
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsnoyes infoon the application serverno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnoneyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnomultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlIdentity management, authentication, and access controlnoDomain, group and role-based access control at the document level and for application servicesno
More information provided by the system vendor
DatabricksFauna infopreviously named FaunaDBmSQL infoMini SQLsearchxmlSTSdb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksFauna infopreviously named FaunaDBmSQL infoMini SQLsearchxmlSTSdb
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